An Erdas Imagine Model To Extract Urban Indices Using Landsat 8 Satellite Imagery

Urbanization has been one of the most important issues in recent years. Expansion in urban areas may affect urban ecosystem. Thus it is crucial to observe the variations in landscape patterns in urban areas. Satellite imagery is one of the effective ways to observe the environment. Besides spatial distribution of urban areas can be determined using satellite images quickly and accurately. In addition in order to distinguish urban features from non-urban areas some spectral urban indices have been developed. In this study Landsat 8 OLI and TIRS data acquired on 7 October 2014 were utilized to retrieve urban areas by the help of spectral urban indices. Zonguldak city a province of Turkey was chosen as study area. The objective of this study is to create an Erdas Imagine model to retrieve urban index maps automatically. The obtained results showed that Erdas Imagine Spatial Modeler is a user friendly and effective tool for image processing. Furthermore different kinds of spectral index maps can be retrieved easily and automatically by creating models.